VTechWorks staff will be away for the Thanksgiving holiday beginning at noon on Wednesday, November 27, through Friday, November 29. We will resume normal operations on Monday, December 2. Thank you for your patience.

Browsing by Author "Choe, Mungyeong"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Emotion GaRage Vol. IV: Creating Empathic In-Vehicle Interfaces with Generative AIs for Automated Vehicle Contexts
    Choe, Mungyeong; Bosch, Esther; Dong, Jiayuan; Alvarez, Ignacio; Oehl, Michael; Jallais, Christophe; Alsaid, Areen; Nadri, Chihab; Jeon, Myounghoon (ACM, 2023-09-18)
    This workshop aims to design advanced empathic user interfaces for in-vehicle displays, particularly for high-level automated vehicles (SAE level 3 or higher). Incorporating model-based approaches for understanding human emotion regulation, it seeks to enhance the user-vehicle interaction. A unique aspect of this workshop is the integration of generative artificial intelligence (AI) tools in the design process. The workshop will explore generative AI’s potential in crafting contextual responses and its impact on user experience and interface design. The agenda includes brainstorming on various driving scenarios, developing emotion-oriented intervention methods, and rapid prototyping with AI tools. The anticipated outcome includes practical prototypes of affective user interfaces and insights on the role of AI in designing human-machine interactions. Through this workshop, we hope to contribute to making automated driving more accessible and enjoyable.
  • Thumbnail Image
    Feeling Your Way with Navibar: A Navigation System using Vibrotactile Feedback for Personal Mobility Vehicle Users
    Choe, Mungyeong; Gopal, Ajit; Badahdah, Abdulmajid S.; Mahendran, Esha; Burnett, Darrian; Jeon, Myounghoon (SAGE, 2023-11-27)
    Navigating routes using navigation systems while using Personal Mobility Vehicles (PMVs) like bikes or scooters can lead to visual distraction in outdoor environments, creating possibilities for an accident. This article proposes a new navigation system called NaVibar for PMVs that uses vibrotactile feedback on the handlebar to enhance route information delivery and reduce visual distraction. The study aims to answer four research questions about visual distraction, route recognition, mental workload, and usability. The results of the study showed that vibrotactile feedback can be an effective and useful addition to the PMVs navigation system, reducing visual distraction, and enhancing the user experience. Also, vibrotactile feedback did not affect the participants' route recognition, but it positively affected the participants’ lower workload levels. Therefore, our study demonstrates that the addition of vibrotactile feedback could enhance the usability and safety of PMV navigation systems.
  • Thumbnail Image
    "I See You": Comparing the Effects of Affective Empathy and Cognitive Empathy on Drivers' Affective States and Driving Behavior in Frustrating Driving Contexts
    Choe, Mungyeong; Jeon, Myounghoon (ACM, 2023-09-18)
    Despite extensive analysis into the relationship between emotion and driving, the effects of empathy on driving remain less explored. This paper focuses on the role of empathy, particularly cognitive and affective empathy, as a potential mitigator of negative emotional states. We investigated how empathic responses from an invehicle agent influence a driver’s emotional state and their driving performance through a between-subject simulation study. Thirty participants were assigned one of three in-vehicle agents: cognitive empathy style, affective empathy style, and non-empathy style agent. They drove using a driving simulator and received empathic responses from in-vehicle agents when adverse events happened. The results showed that affective empathy style in-vehicle agent more helped driver drive safely with lower negative affect states compared to cognitive empathy style agent and no agent.We expect that the findings of this study could provide valuable insight for designing empathic interactions between a driver and a vehicle.